Salton's Vector Space Model

Salton's Vector Space Model is a way to represent and compare documents and queries mathematically. It transforms each document into a list of numbers that reflect the importance of each word used. Think of it like a multi-dimensional space where every document is a point. To find relevant documents, the model measures how close these points are to the query's point. The closer they are, the more relevant the document. This approach allows computers to rank and retrieve documents based on their similarity to the search terms efficiently.